A rapid algorithm for millimeter-wave near-field three-dimensional image reconstruction based on FiNUFFT by Letian Zeng, Sheng Zhang, Yuanyuan Huai, Qi Mao, Jingzhao Li, Zhaohui Luo, Yunhuai Zou

“…This results in a notable reduction in the computational burden, a decrease in processing time, and the circumvention of the interpolation error introduced by the Stolt interpolation. …”
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Operating System for Runtime Reconfigurable Multiprocessor Systems by Diana Göhringer, Michael Hübner, Etienne Nguepi Zeutebouo, Jürgen Becker

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An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization by O. Ahmed, S. Areibi, R. Collier, G. Grewal

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A novel digital radiography image fusion enhancement algorithm based on NSST by Guangwen Wang, Kuan Shen, Dingmei Jing, Wang Liao, Zichao Li

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Overall Cost Overrun Estimate in Residential Projects: A Hybrid Dynamics Approach by Ghada Taha, Ali Sherif, Mohamed Badawy

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Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm by Zhuojun Luo

“…In fog computing environments, fog nodes serve as key components of edge networks, and their security is crucial for ensuring the stability and reliability of IoT applications. …”
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Blockchain-Driven E-Voting: Enhancing Security and Integrity with Smart Contracts by Urooj Waheed, Muhammad Ahsan Khan, Yusra Mansoor, Huma Jamshed, Ahmad Hussain

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Research on High-Reliability Energy-Aware Scheduling Strategy for Heterogeneous Distributed Systems by Ziyu Chen, Jing Wu, Lin Cheng, Tao Tao

“…With the demand for workflow processing driven by edge computing in the Internet of Things (IoT) and cloud computing growing at an exponential rate, task scheduling in heterogeneous distributed systems has become a key challenge to meet real-time constraints in resource-constrained environments. …”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…To fit into this unique need, three optimization approaches were applied to the CNN: data augmentation, network simplification, and training process speed up. Data augmentation transformation provided more learning samples; the network was simplified to accommodate the artificial neural network; the training process speed up is introduced to make the training process more time efficient. …”
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Intention-aware exercise recommendation enhanced by deep forgetting modeling for e-learning by Zezheng Wu, Jingwei Zhang, Minghao Liu, Xiaoyang Huang, Qing Yang

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A Neural Network: Family Competition Genetic Algorithm and Its Applications in Electromagnetic Optimization by P.-Y. Chen, C.-H. Chen, H. Wang

“…Our results demonstrate that the optimal electromagnetic properties given by the NN-FCGA are comparable to those of the FCGA, but reducing a large amount of computation time and a well-trained NN model that can serve as a nonlinear approximator was developed during the optimization process of the NN-FCGA.…”
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Parsing of Research Documents into XML Using Formal Grammars by Opeoluwa Iwashokun, Abejide Ade-Ibijola

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An automatic acne detection, severity, and assessment framework using generative adversarial network with deep neural network by Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood

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A multi-way parallel named entity annotated corpus for English, Tamil and Sinhala by Surangika Ranathunga, Asanka Ranasinghe, Janaka Shamal, Ayodya Dandeniya, Rashmi Galappaththi, Malithi Samaraweera

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The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques by Samar Pratap, Alston Richard Aranha, Divyanshu Kumar, Gautam Malhotra, Anantharaman Palacode Narayana Iyer, Shylaja S.S.

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Klasifikasi Kualitas Buah Apel Dengan Algoritma K-Nearest Neighbor (K-NN) Menggunakan Bahasa Pemrograman Python by Puji Astuti

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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

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OVALYTICS: Enhancing Offensive Video Detection with YouTube Transcriptions and Advanced Language Models by Sneha Chinivar, Roopa M.S., Arunalatha J.S., Venugopal K.R.

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OdNER: NER resource creation and system development for low-resource Odia language by Tusarkanta Dalai, Anupam Das, Tapas Kumar Mishra, Pankaj Kumar Sa

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Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features by Yongyong Sun, Haiping Yuan, Fei Xu

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